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Machine Learning Object Detection Jobs in Indiana

Varsity Tutors

Machine Learning Tutor

Bloomington, IN · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Valparaiso, IN · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Indianapolis, IN · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Varsity Tutors

Machine Learning Tutor

Fort Wayne, IN · Remote

$40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

MISO

Principal AI Engineer

Carmel, IN · On-site

$168K - $193K/yr

We build and maintain advanced analytical assets that detect, investigate, and ultimately help ... Azure Data Factory & Azure Machine Learning Studio * MLflow and model lifecycle management * OpenAI ...

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Machine Learning Object Detection information

What are the key skills and qualifications needed to thrive as a Machine Learning Object Detection Engineer, and why are they important?

To excel as a Machine Learning Object Detection Engineer, you need a solid background in computer science, mathematics, and deep learning principles, often backed by a relevant degree and experience in computer vision. Familiarity with frameworks like TensorFlow, PyTorch, and OpenCV, as well as experience with annotation tools and GPU computing, is typically required. Strong problem-solving abilities, attention to detail, and effective communication are vital soft skills for collaborating with cross-functional teams and addressing complex challenges. These competencies ensure accurate model development, efficient deployment, and continual improvement of object detection systems in real-world applications.

What are some common challenges faced when working on machine learning object detection projects?

One of the main challenges in machine learning object detection roles is dealing with the quality and quantity of annotated data, as accurate labeling is essential for model performance. Another common challenge is managing variations in object scale, lighting, and occlusion within real-world images, which can affect detection accuracy. Additionally, balancing model accuracy with computational efficiency—especially for real-time applications—often requires careful model selection and optimization. Collaboration with data engineers and domain experts is also typical to ensure data relevance and model applicability.

What is machine learning object detection?

Machine learning object detection is a field within artificial intelligence that focuses on identifying and locating objects within images or videos. It uses algorithms and deep learning models, such as convolutional neural networks (CNNs), to analyze visual data and predict the presence and position of various objects. Object detection is widely used in applications like autonomous vehicles, security surveillance, and image search. The process typically involves training models on labeled datasets so they can accurately detect and classify multiple objects in complex scenes.
What are popular job titles related to Machine Learning Object Detection jobs in Indiana? For Machine Learning Object Detection jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Machine Learning Object Detection jobs in Indiana look for? The top searched job categories for Machine Learning Object Detection jobs in Indiana are:
What cities in Indiana are hiring for Machine Learning Object Detection jobs? Cities in Indiana with the most Machine Learning Object Detection job openings:
Machine Learning Object Detection jobs near you
Infographic showing various Machine Learning Object Detection job openings in Indiana as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 97% In-person, and 3% Remote job distribution.

Senior Computer Vision Engineer

Matrix Design Group

Newburgh, IN • On-site

$99.10K - $136.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.
We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position.
This position reports to the Manager of Software Systems.
Duties and Responsibilities
  • Prepare customer-facing presentations for custom model deployments
  • Implement CI/CD pipelines for models, data, and source code
  • Work with product and project managers to ensure that projects proceed on time and on budget
  • Work with other engineers to develop a working understanding of how the AI is developing
  • Document process steps to ensure reasonable human oversight
  • Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
  • Mentor junior engineers and interns
  • Participate in code reviews and sprint planning
  • Understand and apply best practices for object detection modeling
  • Understand and apply TensorFlow, PyTorch, and ONNX core concepts
  • Understand and apply hardware accelerator compilation and execution
  • Understand and apply Jupyter Notebooks/Google Colab concepts
  • Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Qualifications & Competencies
Employment Eligibility & Verification
All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time.
Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus.
  • 7+ years of experience in the ML space
  • An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch
  • Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO
  • Experience with containerization technologies such as Docker, Kubernetes, etc.
  • Experience developing software using one or more of the following languages (C/C++, C#, Python)
  • Experience with Linux and/or Windows OS
  • Experience with model, container, and package registries
  • Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
  • Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
  • Experience with multimodal models such as CLIP, GPT-4V, Llama
  • Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
  • Strong understanding of source control concepts and CI/CD pipelines
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills

Working Conditions
  • Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
  • Candidate may be required to work underground, but on an infrequent basis.
  • While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
  • Customer operations may contain airborne particles and allergens.
  • Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
  • Occasional travel and ability to work various shifts as required by customer.

Physical Requirements
The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits
  • First day coverage of all benefits - no waiting period
  • Premium free medical, dental and vision insurance - working spouse must take single major medical at their place of employment if offered
  • On-site health clinic
  • Basic Life (2x annual base salary at no cost)
  • Optional Life and Accidental Death and Dismemberment (AD&D) insurance
  • Short-Term and Long-Term Disability insurance (no cost)
  • 401(k) Plan with up to an 8% company match
  • FSA for Health Care and Dependent Care
  • 10 Paid annual holidays plus vacation time
  • Educational Reimbursement Program
  • Scholarship Program
  • Optional Gym Membership
  • ESports Room

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